On the Classification of Water Quality from an Ecological Point of View
*Sophia Barinova
Institute of Evolution, University of Haifa, Israel
Submission: March 22, 2017; Published: March 31, 2017
*Corresponding author: Sophia Barinova, Institute of Evolution, University of Haifa, Mount Carmel, 199 Abba Khoushi Ave, Haifa 3498838, Israel, Email: sophia@evo.haifa.ac.il
How to cite this article: Barinova S. On the Classification of Water Quality from an Ecological Point of View. Int J Environ Sci Nat Res. 2017;2(2): 555581. DOI: 10.19080/IJESNR.2017.02.555581
Abstract
In the base of our experience we are presented the most continually system of the water quality classification. The system included chemical, physical, and biological variables that ranged into five or even six Classes of water quality and nine ranks. The system covers the entire range of environmental indicators in which the existence of an aquatic ecosystem is possible. At the heart of the classification is Vladimir Sladechek's model, which covers all possible types of water that exist in nature. In the presented classification, only one quadrant describing natural aquatic habitats with photosynthetic in the basis of the trophic pyramid is mentioned. The WESI index calculated on the basis of this classification of the index of saprobitys and the concentration of trophic elements in water is also presented. The index reflects the degree of toxic effects of the environment on the photosynthetic process in the ecosystem.
Keywords: Water Quality; Classification; Aquatic ecosystem; Nutrients; Toxicity; Self-purification
Introduction
With the development of industry and agriculture, the quality of surface water is becoming increasingly important and requires attention for the assessment and conservation of water resources. The maintenance of water quality at a high level is of considerable importance. For the most part the water intake comes from natural sources, including rivers, lakes, and reservoirs. The quality of water should be not only assessed, but also predicted. Under natural conditions, water quality depends on river basin and on the ecosystem of the water body. Considering that water quality assessment is rather expensive, elaboration of express-methods of its assessment is an urgent problem.
The bio-indication analysis is based on the hierarchic organization of the biotic community, which is described by the model of trophic pyramid [1]. However, in the natural ecosystem relationship between the levels is more complicated [2]. The distribution of the groups of organisms or species over the intervals of the environmental factors is also of considerable importance.
Aquatic Ecosystem State Assessment
Pollution in the freshwater aquatic objects is complicated system of problems and methods for dissolved of which needs more understanding for ecosystem structure and relevancy of methods for its state assessment. Figure 1 present our system of matter transformation in the aquatic ecosystem. The methods and indices that can be used for assessment of pollution impact on the natural water bodies are based on the ecological point of view to the water and biota relationships. As can be seen in the model, the basic level is represented by nutrients, i.e. dissolved matters, which can be used for proteins creation by mechanisms of photosynthesis as well as with heterotrophic way. In any case in the production of proteins is involved at the level of primary producers, that assume that algae can be used as bio-indicators of pollution impact (Figure 1).

Aquatic ecosystems of fresh and brackish water bodies are heavily prevalent on the Earth's surface. The relationships between algal biodiversity and environmental conditions are determined by adaptation level of the species and the community as a whole. Bioindication is based on the principal of congruence between community composition and complexity of environmental factors. However, it is still a problem to define the role of particular environmental variables as well as to predict the community's response to environmental change. Nevertheless, it is the problem of how to summarize information about environment and biota that can be classified for pollution impact assessment. The mutual influence of the diversity of freshwater algae and their habitat ecology of the species is determined, developing in the study community. The basis of the principle is of bio-indication compliance the community composition to the parameters of its habitat. However, to identify the role of certain environmental factors in the formation of algae, as well as assess the community response to environmental changes, still presents difficulties [3,4]. We developed our system for assessment of ecosystem state that included not only environmental variables but also biotic components. Figure 2 represent system of assessment approach that can at the end gives trophic state and toxicity impact in the studied ecosystem [3,4], (Figure 2).

For the purpose of ecosystem state assessment we can do two steps in the left pathway of the model for chemical variables classification and for the biotic diversity and bio-indication assessment in the right pathway of the model.

As known, the natural aquatic object water chemical variables are very diverse and we classified it for natural and anthropogenic pollutants. Both groups are impacted of the biotic diversity developing but correlated each other with ecosystem state. Figures 3&4 present dynamic of few major chemical and biotic variables in the trend of natural object pollution increasing (Figures 3&4).


Bio-indication methods are based on the ecological preferences of each species of algae in the environmental gradients. Figure 5 represent bio-indication amplitude and optimums of two species with different ecological preferences (Figure 5). In this case, the bio-indication method consisting of the analysis of biota response to changes in the environmental conditions takes on great significance. It should be noted that bio-indication differs from bioassay.
The major methods of pollution impact assessment can be divided into three different groups:
- Methods of bio-indication on the base of species ecology that occupied studied natural habitat.
- Methods of bio-test that based on the organisms respond to the environment in which it is inserted and.
- Methods that are based on the chemical variables only for calculation of the Water Quality Index, WQI [5].
The first method can be used for the natural water resources assessment as a part of the aquatic ecosystem state analysis. The second method can give best results when we need water toxicity assessment in the water sample from any object. Third method used without correlation of biotic and environmental variables. The aim of present study was given to the first, the bioindication method and the water variables ranking in aquatic ecosystem of the surface water bodies.
Methods and Approaches
Chemistry and Toxicity Methods

All the pollutants and nutritional elements entering the water object affect the biotic component of ecosystem, starting with algae as the primary producers, and disruptors of the biotic/a biotic equilibrium [1] (Figure 6). Figure 6 Saprobity model based on [1]. The arrows on the model represent the ideal index of saprobitys amplitude of analyzed aquatic ecosystem as in [3]. Each quadrant (Katarobity, Limnosaprobity, Eusaprobity, and Transsaprobity) symbolize four main groups of variables with respect to purity and pollution of all freshwaters [1]. The symbols: x, o, α, a, β, denote the self-purification zones, which, in turn, are used to determine Classes of water quality I-V, ( Table 1).

The main attention to the Sladecek [1] model should be given to the quadrant 1, the upper left one. Here, the parameters of aquatic ecosystems, which are based on the trophic pyramid photosynthetic organisms, are reflected. That is, the parameters of the environment and biota from this quadrant are continually describing natural aquatic ecosystems in full range of its existing. Therefore the Sladecek's model gives us base for the water chemical data continual classification as well as the some related biotic parameters also. Therefore, the main points of our approach are:
- Allrange of the living aquatic ecosystem existence, and
- Continual classification in the frame of the full range parameters.
Estimates of water quality include four major approaches, namely:
- Complete chemical analysis;
- Useofindicatoror ganism ssuccessful in the given environment;
- Partialchemical analysis including the mostsignifi cantvariables;
- Bio-testing with a selected test organism sensitive to chemical pollution.
Insofar as the complete analysis is rather expensive, effective approaches to monitoring aquatic objects are based on selected indicator systems, in particular the biotic ones, giving an integral estimate of water quality [6]. Of the available bio-monitoring methods, those based on primary producer components, such as freshwater algae, are the most promising [7]. Three approaches are internationally recognized based on:
- Organisms responses;
- Population responses;
- Integral biotic community responses.
In the first case, a critical variable is the intensity of photosynthesis under stressful conditions. In the second case, it is the dynamics of morphophysiological variations, and in the third one the density and diversity of all the constitutive elements of the biotic community. The latter approach is commonly recognized as the most informative, reflecting the self-purification ability of the water ecosystem in combination with bio-testing; it is the ideal tool for monitoring aquatic objects.
Water Quality Classification
From many classification systems of monitoring parameters that are used in European countries, we find a more uniform and continual classification over all the parameters in the system which was created on the base of international intercalibration expeditions and applied in river monitoring in Russia, the Former Soviet Union countries [8], and France [3] (Tables 1) as a part of system. In Europe a system using several standard parameters for river monitoring can be found. However, for many countries such Israel, this methodology is applied for the first time. The results are presented [9] as a scale of water quality along the rivers using bio-indication methods. The relationship between the saprobity's index and the water quality category [3] is presented in (Tables 1 & 2). The water in the water bodies' classification from ecological point of view is given in followed (Tables 1-6) [3]. The water quality for different purposes required fewer standards than for the natural aquatic objects and in the Natural Conservation and Reserves areas. Color standards scale given in Tables 7) (Tables 1-7).






Aquatic Ecosystem Sustainability Index (WESI)
The Photosynthetic process in the aquatic environment is subjected to the influence of stress factors, including many toxicants. As a result of the stress, the communities of autotrophic organisms gave way to the communities of heterotrophic organisms. This process influences the composition and abundance of algal species in the community. In this case, the concentration of nutrients remains rather high. Thus, the degree of the influence of the stress factor on aquatic ecosystem can be assessed from the comparison of the saprobic indices and the content of nutrients. In this case, the number of the S rank should be divided by the number of the rank of nitrate or phosphate content (the WESI -Aquatic Ecosystem State Index). The integral index of aquatic ecosystem sustainability (WESI) was constructed based on the results of our studies [3]. It is based on the water quality ranges (Table 2) as determined by Sladecek's saprobity indices and nitrate (or phosphates) concentrations. The resulting WESI index reflects the self-purification capacities of the river system [3], and is calculated from equation 1:
WESI = Rank S / Rank N-NO3 (Eq. 1)
Where:
Rank S - the rank of water quality according to the range of the Sladecek's saprobity indices (Table 2) calculated for the sampling station.
Rank N-NO3- water quality rank according to the range of nitric-nitrogen concentrations scale (Table 2).
The WESI index varies from 0 to 5. At WESI ≥ 1, the photosynthetic level is positively correlated with the level of nitrate concentration. At WESI < 1, photosynthesis is suppressed (presumably due to a toxic disturbance). In the water bodies slightly contaminated by toxicants, autotrophic, myxotrophic, and heterotrophic species are registered in the community.
Why Index S
As the last sentence, can be described why we are chosen Index saprobitys from many others that were calculated practically in each country. First, that because the Index S is a part of continual system of Sladecek. This index is covered all ranks of living ecosystem variables and therefore can be classified with them synchronously. Second, many other indices of saprobitys are created for the water variables that are presented in the water bodies of the particular country-developer. Therefore, particular indices cannot represent some ranks of water variables in other regions or countries with the exception of Index S. Third, the vast majority of indices are developed on the species of diatoms. It would seem, why not, if this group is so well-studied with respect to taxonomy and morphology. But there is a problem that diatoms are well represented in the aquatic communities of European countries-developers, related to the boreal zone. When we explore communities in the more southern regions, such as Ukraine, Turkey, Pakistan, India or Israel, we are faced with the fact that diatoms represents only a relatively small part of the communities, but green algae and cyanobacteria are more widely represented. Thus, the use of indices developed on diatoms becomes difficult in the southern regions but the Index S is occupied at all aquatic taxa. In our experience of the last years activity in the aquatic ecosystem water quality assessment with implementation of given above classification system and indices, we have many positive examples for the diverse aquatic objects in Eurasia [3,4].
Acknowledgement
This work has been partly supported by the Israeli Ministry of Absorption.
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